14 data-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions at University of Texas at Austin
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3 years of hire Preferred Qualifications Strong background in seismic interferometry, including coda-wave interferometry applied primarily to broadband seismic data, with experience extending
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colleges and schools to share program information and updates, enabling administrators to effectively promote the opportunity and ensure student representation from all areas of campus. Work with campus
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driving these hazards, which provides important information to improve understanding of risk. Exposure to earth hazards is increasing faster than mitigation strategies are developing; therefore, workflows
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evaluations of natural products for drug discovery Microbial genome mining for specialized metabolites discovery from human microbiota Manuscript preparation for scientific publication Generate data and
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to promote communication and quality of life.. Responsibilities Data collection (e.g., participant screening, assessment) for studies examining the nature and management of primary progressive aphasia (PPA
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of a culturally adapted decision aid intervention regarding feeding related decision-making among Chinese American dementia caregivers. Responsibilities Collect qualitative and quantitative data as
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a workstation Use of manual dexterity Lifting and moving Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of
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the future of C5ISR systems. Responsibilities Implement and harden agent/runtime services (Python + C++/Rust), data models, and APIs (gRPC/REST); package for edge compute deployments. Build and maintain
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The names of 3 academic references with their contact information Letter of interest A brief writing sample (no more than 12,000 words) A syllabus for an undergraduate course Important for applicants who
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-quality academic research while preparing the fellow to develop an independent, grant-fundable line of investigation. Responsibilities Conduct multivariate analyses of fMRI, EMA, and physiological data